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William J Cottam, Sarina J Iwabuchi, Marianne M Drabek, Diane Reckziegel, Dorothee P Auer
Resting-state functional connectivity (FC) has proven a powerful approach to understand the neural underpinnings of chronic pain, reporting altered connectivity in three main networks: the default mode (DMN), central executive (CEN), and the salience network (SN). The interrelation and possible mechanisms of these changes are less well understood in chronic pain. Based on emerging evidence of its role to drive switches between network states, the right anterior insula (rAI, an SN hub) may play a dominant role in network connectivity changes underpinning chronic pain...
March 16, 2018: Pain
Yuan Feng, Yu-Chen Chen, Han Lv, Wenqing Xia, Cun-Nan Mao, Fan Bo, Huiyou Chen, Jin-Jing Xu, Xindao Yin
Purpose : Chronic subjective tinnitus may arise from aberrant functional coupling between the cerebellum and the cerebral cortex. To explore this hypothesis, we used resting-state functional magnetic resonance imaging (fMRI) to illuminate the functional connectivity network of the cerebellar regions in chronic tinnitus patients and controls. Methods : Resting-state fMRI scans were obtained from 28 chronic tinnitus patients and 29 healthy controls (well matched for age, sex and education) in this study. Cerebellar-cerebral functional connectivity was characterized using a seed-based whole-brain correlation method...
2018: Frontiers in Aging Neuroscience
Carla Caballero, Sejal Mistry, Joe Vero, Elizabeth B Torres
The variability inherently present in biophysical data is partly contributed by disparate sampling resolutions across instrumentations. This poses a potential problem for statistical inference using pooled data in open access repositories. Such repositories combine data collected from multiple research sites using variable sampling resolutions. One example is the Autism Brain Imaging Data Exchange repository containing thousands of imaging and demographic records from participants in the spectrum of autism and age-matched neurotypical controls...
2018: Frontiers in Integrative Neuroscience
Feng Tian, Junjie Wang, Cheng Xu, Hong Li, Xin Ma
In recent years, functional magnetic resonance imaging (fMRI) has been widely used in studies that explored the personality-brain association. Researches on personality neuroscience have the potential to provide personality psychology with explanatory models-that is, why people differ from each other rather than how they differ from each other (DeYoung and Gray, 2009). As one of the most important dimensions of personality traits, extraversion is the most stable core and a universal component in personality theory...
2018: Frontiers in Neuroscience
Viviana Betti, Maurizio Corbetta, Francesco de Pasquale, Vincent Wens, Stefania Della Penna
Networks hubs represent points of convergence for the integration of information across many different nodes and systems. While a great deal is known on the topology of hub regions in the human brain, little is known about their temporal dynamics. Here, we examine the static and dynamic centrality of hub regions when measured in the absence of a task (rest) or during the observation of natural or synthetic visual stimuli. We used Magnetoencephalography (MEG) in humans (both sexes) to measure static and transient regional and network-level interaction in α and β band limited power (BLP) in three conditions: visual fixation (rest), viewing of movie clips (natural vision), and time-scrambled versions of the same clips (scrambled vision)...
March 19, 2018: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
A N Gorban, I Y Tyukin
The concentrations of measure phenomena were discovered as the mathematical background to statistical mechanics at the end of the nineteenth/beginning of the twentieth century and have been explored in mathematics ever since. At the beginning of the twenty-first century, it became clear that the proper utilization of these phenomena in machine learning might transform the curse of dimensionality into the blessing of dimensionality This paper summarizes recently discovered phenomena of measure concentration which drastically simplify some machine learning problems in high dimension, and allow us to correct legacy artificial intelligence systems...
April 28, 2018: Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
Conor Owens-Walton, David Jakabek, Xiaozhen Li, Fiona A Wilkes, Mark Walterfang, Dennis Velakoulis, Danielle van Westen, Jeffrey C L Looi, Oskar Hansson
We sought to investigate morphological and resting state functional connectivity changes to the striatal nuclei in Parkinson disease (PD) and examine whether changes were associated with measures of clinical function. Striatal nuclei were manually segmented on 3T-T1 weighted MRI scans of 74 PD participants and 27 control subjects, quantitatively analysed for volume, shape and also functional connectivity using functional MRI data. Bilateral caudate nuclei and putamen volumes were significantly reduced in the PD cohort compared to controls...
March 7, 2018: Psychiatry Research
Yituo Wang, Yuyang Zhu, Pinhong Chen, Feng Yan, Shanshan Chen, Gongjie Li, Xiangjun Hu, Lubin Wang, Zheng Yang
The amygdala, a subcortical structure responsible for fear and vigilance, is central to the stress circuitry. Aberrant amygdala connectivity with the cortical and subcortical regions is found in patients with stress-related disorders, and in healthy subjects following acute stress exposure. However, the extent to which the stress-induced alteration of amygdala functional connectivity correlates with risk-related personality measures remains unclear. Using resting-state functional magnetic resonance imaging, we evaluated the effect of acute stress, induced by aversive movies accompanied by a mild electric shock, on the functional connectivity of the basolateral amygdala (BLA) and centromedial amygdala (CMA) in 35 healthy men, and assessed the association between changes in amygdala functional connectivity and individual differences in neuroticism...
March 16, 2018: Behavioural Brain Research
Rebecca L Barlow, Martin Gorges, Alfie Wearn, Heiko G Niessen, Jan Kassubek, Jeffrey W Dalley, Anton Pekcec
Background: Low dopamine D2/3 receptor availability in the nucleus accumbens (NAcb) shell is associated with highly-impulsive behavior in rats, as measured by premature responses in a cued attentional task. However, it is unclear whether dopamine D2/3 receptor availability in the NAcb is equally linked to intolerance for delayed rewards, a related form of impulsivity. Methods: We investigated the relationship between D2/3 receptor availability in the NAcb and impulsivity in a delay-discounting task (DDT) where animals must choose between immediate small-magnitude rewards and delayed larger-magnitude rewards...
March 15, 2018: International Journal of Neuropsychopharmacology
Yuan-Sheng Lee, Nirveek Bhattacharjee, Albert Folch
Here we demonstrate a 3D-printable microvalve that is transparent, built with a biocompatible resin, and has a simple architecture that can be easily scaled up into large arrays. The open-at-rest valve design is derived from Quake's PDMS valve design. We used a stereolithographic (SL) 3D printer to print a thin (25 or 10 μm-thick) membrane (1200 or 500 μm-diam.) that is pneumatically pressed (∼3-6 psi) over a bowl-shaped seat to close the valve. We used poly(ethylene diacrylate) (MW = 258) (PEG-DA-258) as the resin because it yields transparent cytocompatible prints...
March 19, 2018: Lab on a Chip
Julian Conrad, Rainer Boegle, Matthias Ertl, Thomas Brandt, Marianne Dieterich
Objective: Vestibular signals are involved in higher cortical functions like spatial orientation and its disorders. Vestibular dysfunction contributes, for example, to spatial neglect which can be transiently improved by caloric stimulation. The exact roles and mechanisms of the vestibular and visual systems for the recovery of neglect are not yet known. Methods: Resting-state functional connectivity (fc) magnetic resonance imaging was recorded in a patient with hemispatial neglect during the acute phase and after recovery 6 months later following a right middle cerebral artery infarction before and after caloric vestibular stimulation...
2018: Frontiers in Neurology
Bing Wu, Yi Yang, Shuai Zhou, Wei Wang, Zizhen Wang, Gang Hu, Jianghong He, Xinhuai Wu
Purpose: Diagnostic error is common among patients with vegetative state (VS) and minimally conscious state (MCS). The purpose of this article is to use three-dimensional pseudo-continuous arterial spin labeling (pcASL) to compare cerebral blood flow (CBF) patterns in patients in MCS with those in VS. Methods: Patients meeting MCS and VS criteria were identified. Two post-labeling delay (PLD) time pcASL on 3.0-Tesla magnetic resonance imaging scanner system were performed with patients in the resting awake state...
2018: Frontiers in Neurology
Pia Lau, Andreas Wollbrink, Robert Wunderlich, Alva Engell, Alwina Löhe, Markus Junghöfer, Christo Pantev
Tinnitus is a prevalent phenomenon and bothersome for people affected by it. Its occurrence and maintenance have a clear neuroscientific tie and one aspect are differences in the neuronal oscillatory pattern, especially in auditory cortical areas. As studies in this field come to different results, the aim of this study was to analyze a large number of participants to achieve more stable results. Furthermore, we expanded our analysis to two variables of potential influence, namely being a novice to neuroscientific measurements and the exclusion of psychological comorbidities...
2018: Frontiers in Psychology
Quanying Liu, Marco Ganzetti, Nicole Wenderoth, Dante Mantini
Resting state networks (RSNs) in the human brain were recently detected using high-density electroencephalography (hdEEG). This was done by using an advanced analysis workflow to estimate neural signals in the cortex and to assess functional connectivity (FC) between distant cortical regions. FC analyses were conducted either using temporal (tICA) or spatial independent component analysis (sICA). Notably, EEG-RSNs obtained with sICA were very similar to RSNs retrieved with sICA from functional magnetic resonance imaging data...
2018: Frontiers in Neuroinformatics
Eliécer E Gutiérrez, Guilherme S T Garbino
A recently proposed taxonomic classification of extant ungulates sparked a series of publications that criticize the Phylogenetic Species Concept (PSC) claiming it to be a particularly poor species concept. These opinions reiteratively stated that (1) the two fundamental elements of the "PSC", i.e., monophyly and diagnosability, do not offer objective criteria as to where the line between species should be drawn; and (2) that extirpation of populations can lead to artificial diagnosability and spurious recognitions of species...
March 8, 2018: Zoological Research
Shiteng Suo, Lan Zhang, Hui Tang, Qihong Ni, Suqin Li, Haimin Mao, Xiangyu Liu, Shengyun He, Jianxun Qu, Qing Lu, Jianrong Xu
BACKGROUND: Noninvasive cardiovascular magnetic resonance (CMR) techniques including arterial spin labeling (ASL), blood oxygenation level-dependent (BOLD), and intravoxel incoherent motion (IVIM), are capable of measuring tissue perfusion-related parameters. We sought to evaluate and compare these three CMR techniques in characterizing skeletal muscle perfusion in lower extremities and to investigate their abilities to diagnose and assess the severity of peripheral arterial disease (PAD)...
March 19, 2018: Journal of Cardiovascular Magnetic Resonance
Daniel Fraiman, Ricardo Fraiman
The study of brain networks has developed extensively over the last couple of decades. By contrast, techniques for the statistical analysis of these networks are less developed. In this paper, we focus on the statistical comparison of brain networks in a nonparametric framework and discuss the associated detection and identification problems. We tested network differences between groups with an analysis of variance (ANOVA) test we developed specifically for networks. We also propose and analyse the behaviour of a new statistical procedure designed to identify different subnetworks...
March 16, 2018: Scientific Reports
Shu-Hsien Chu, Keshab K Parhi, Christophe Lenglet
A joint structural-functional brain network model is presented, which enables the discovery of function-specific brain circuits, and recovers structural connections that are under-estimated by diffusion MRI (dMRI). Incorporating information from functional MRI (fMRI) into diffusion MRI to estimate brain circuits is a challenging task. Usually, seed regions for tractography are selected from fMRI activation maps to extract the white matter pathways of interest. The proposed method jointly analyzes whole brain dMRI and fMRI data, allowing the estimation of complete function-specific structural networks instead of interactively investigating the connectivity of individual cortical/sub-cortical areas...
March 16, 2018: Scientific Reports
Sven Vanneste, Jae-Jin Song, Dirk De Ridder
Thalamocortical dysrhythmia (TCD) is a model proposed to explain divergent neurological disorders. It is characterized by a common oscillatory pattern in which resting-state alpha activity is replaced by cross-frequency coupling of low- and high-frequency oscillations. We undertook a data-driven approach using support vector machine learning for analyzing resting-state electroencephalography oscillatory patterns in patients with Parkinson's disease, neuropathic pain, tinnitus, and depression. We show a spectrally equivalent but spatially distinct form of TCD that depends on the specific disorder...
March 16, 2018: Nature Communications
Maryam Falahpour, Catie Chang, Chi Wah Wong, Thomas T Liu
Changes in vigilance or alertness during a typical resting state fMRI scan are inevitable and have been found to affect measures of functional brain connectivity. Since it is not often feasible to monitor vigilance with EEG during fMRI scans, it would be of great value to have methods for estimating vigilance levels from fMRI data alone. A recent study, conducted in macaque monkeys, proposed a template-based approach for fMRI-based estimation of vigilance fluctuations. Here, we use simultaneously acquired EEG/fMRI data to investigate whether the same template-based approach can be employed to estimate vigilance fluctuations of awake humans across different resting-state conditions...
March 13, 2018: NeuroImage
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